Artificially Intelligent Government: A Review and Agenda

<a href="https://embed.stanford.edu/iframe/?url=https%3A%2F%2Fpurl.stanford.edu%2Fhp475wq9755" class="su-underline">Show Content</a>

Abstract/Contents

Abstract: We offer a synthetic review of the distinct governance challenges raised by public sector adoption of AI. We illustrate how a new wave of AI technology is exhibiting early signs of transforming how government works, raising distinct governance challenges. First, public sector AI will grapple not only with widely covered constitutional law issues, but also with administrative law’s unique demands for transparency and explainability. Second, embedded technical expertise will be critical for narrowing the public-private sector technology gap and furthering “internal” due process. Third, we spell out the challenges of gameability, distributive effects, and legitimacy as the new AI-based governance technologies move closer to performing core government functions. We argue that the next generation of work will require more sustained attention to (a) the legal and institutional context and (b) the technological viability of use cases.

Author	Engstrom, David Freeman
Author	Ho, Daniel E.

Location	https://purl.stanford.edu/hp475wq9755

Use and reproduction: User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
License: This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).

Preferred citation: Engstrom, David Freeman & Ho, Daniel E., Artificially intelligent government: A review and agenda, in RESEARCH HANDBOOK ON BIG DATA LAW 57-86 (Roland Vogl ed., Edward Elgar Publishing, 2021). Stanford Digital Repository. Available at: https://purl.stanford.edu/hp475wq9755

Faculty, Student, and Staff Publications

Loading usage metrics...